<h1 id="cowsay"><a href="#cowsay" class="headerlink" title="cowsay"></a>cowsay</h1><p><a href="#overview">Overview</a><br>| <a href="#installation">Installation</a><br>| <a href="#usage">Usage</a><br>| <a href="#benchmarks">Benchmarks</a><br>| <a href="#todo">To-Do</a><br>| <a href="#acknowledgements">Acknowledgements</a><br>| <a href="#license">License</a></p>
<p>Mooooo</p>
<p><code>version 1.0 25jul2018</code></p>
<h2 id="Overview"><a href="#Overview" class="headerlink" title="Overview"></a>Overview</h2><p>Much-needed <a href="https://en.wikipedia.org/wiki/Cowsay">Cowsay</a> functionality for Stata.</p>
<h2 id="Installation"><a href="#Installation" class="headerlink" title="Installation"></a>Installation</h2><p>You have two options to get mooving with cowsay.</p>
<ol>
<li>The most recent version can be installed from Github with the following Stata command:</li>
</ol>
<pre><code class="stata"><span class="keyword">net</span> install cowsay, from(https:<span class="comment">//raw.githubusercontent.com/mdroste/stata-cowsay/master/)</span></code></pre>
<ol start="2">
<li>A ZIP containing the program can be downloaded and manually placed on the user’s adopath from Github.</li>
</ol>
<h2 id="Usage"><a href="#Usage" class="headerlink" title="Usage"></a>Usage</h2><p>Consider the following example Stata output:</p>
<pre><code>. sysuse auto
(1978 Automobile Data)

. reg price mpg

      Source |       SS           df       MS      Number of obs   =        74
-------------+----------------------------------   F(1, 72)        =     20.26
       Model |   139449474         1   139449474   Prob &gt; F        =    0.0000
    Residual |   495615923        72  6883554.48   R-squared       =    0.2196
-------------+----------------------------------   Adj R-squared   =    0.2087
       Total |   635065396        73  8699525.97   Root MSE        =    2623.7

------------------------------------------------------------------------------
       price |      Coef.   Std. Err.      t    P&gt;|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         mpg |  -238.8943   53.07669    -4.50   0.000    -344.7008   -133.0879
       _cons |   11253.06   1170.813     9.61   0.000     8919.088    13587.03
------------------------------------------------------------------------------

. cowsay &quot;Mooo! The R2 is `e(r2)&apos;&quot;

   -----------------------------------
  &lt; Mooo! The R2 is .2195828561874973 &gt;
   -----------------------------------
         \   ^__^
          \  (oo)\_______
             (__)\       )\/\
                 ||----w |
                 ||     ||
</code></pre><p>For more documentation, consult the help file in Stata:</p>
<pre><code class="stata"><span class="keyword">help</span> cowsay</code></pre>
<h2 id="Benchmarks"><a href="#Benchmarks" class="headerlink" title="Benchmarks"></a>Benchmarks</h2><p>Cowsay is the first Stata program to implement cowsay functionality in 33 years. This point is illustrated below.</p>
<p><img src="benchmarks/benchmark_cowsay.png" alt="cowsay benchmark" title="cowsay benchmark"></p>
<h2 id="Todo"><a href="#Todo" class="headerlink" title="Todo"></a>Todo</h2><p>The following items will be addressed before submitting to SSC, maybe:</p>
<ul>
<li><input disabled="" type="checkbox"> Word wrap</li>
</ul>
<h2 id="Acknowledgements"><a href="#Acknowledgements" class="headerlink" title="Acknowledgements"></a>Acknowledgements</h2><p>Cowsay was written by Tony Monroe a really long time ago.</p>
<p>Mauricio Caceres Bravo (<a href="https://github.com/mcaceresb">@mcaceresb</a>) made this a lot better.</p>
<h2 id="License"><a href="#License" class="headerlink" title="License"></a>License</h2><p>Cows have no concept of software licensing.</p>
